Student Model Diagnosis for Adaptive Instruction in ITS. - Noboru Matsuda; Toshio Okamoto (Intelligent Tutoring Systems, 1992)

Parallel Computing Model for Problem Solver Towards ITSs: Epistemological Articulation of Human Problem Solving. - Noboru Matsuda; Toshio Okamoto (Intelligent Tutoring Systems, 1996)

Diagrammatic Reasoning for Geometry ITS to Teach Auxiliary Line Construction Problems. - Noboru Matsuda; Toshio Okamoto (Intelligent Tutoring Systems, 1998)

A Reification of a Strategy for Geometry Theorem Proving. - Noboru Matsuda; Kurt VanLehn (Intelligent Tutoring Systems, 2000)

Modeling Hinting Strategies for Geometry Theorem Proving. - Noboru Matsuda; Kurt VanLehn (User Modeling, 2003)

GRAMY: A Geometry Theorem Prover Capable of Construction. - Noboru Matsuda; Kurt VanLehn (J. Autom. Reason., 2004)

Advanced Geometry Tutor: An intelligent tutor that teaches proof-writing with construction. - Noboru Matsuda; Kurt VanLehn (AIED, 2005)

Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (AIED, 2007)

Evaluating a Simulated Student Using Real Students Data for Training and Testing. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (User Modeling, 2007)

Why Tutored Problem Solving May be Better Than Example Study: Theoretical Implications from a Simulated-Student Study. - Noboru Matsuda; William W. Cohen; Jonathan Sewall; Gustavo Lacerda; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2008)

Towards a Computational Model of Why Some Students Learn Faster than Others. - Nan Li 001; Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, 2010)

Learning by Teaching SimStudent. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (2), 2010)

Learning by Teaching SimStudent: Technical Accomplishments and an Initial Use with Students. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Arthur Tu; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems (1), 2010)

Learning by Teaching SimStudent - Interactive Event. - Noboru Matsuda; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (AIED, 2011)

Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (AIED, 2011)

A Machine Learning Approach for Automatic Student Model Discovery. - Nan Li 001; William W. Cohen; Kenneth R. Koedinger; Noboru Matsuda (EDM, 2011)

"Oh dear stacy!": social interaction, elaboration, and learning with teachable agents. - Amy Ogan; Samantha L. Finkelstein; Elijah Mayfield; Claudia D'Adamo; Noboru Matsuda; Justine Cassell (CHI, 2012)

Shallow learning as a pathway for successful learning both for tutors and tutees. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; William W. Cohen; Gabriel Stylianides; Kenneth R. Koedinger (CogSci, 2012)

Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations. - Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger; Victoria Keiser; Rohan Raizada; Evelyn Yarzebinski; Shayna P. Watson; Gabriel Stylianides (DIGITEL, 2012)

Building a Conversational SimStudent. - Ryan Carlson; Victoria Keiser; Noboru Matsuda; Kenneth R. Koedinger; Carolyn Penstein Rosé (ITS, 2012)

Motivational Factors for Learning by Teaching - The Effect of a Competitive Game Show in a Virtual peer-Learning Environment. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel Stylianides; Kenneth R. Koedinger (ITS, 2012)

An Application of Peer Review for Art Education: A Tablet PC Becomes a Language for Students Who are Hard of Hearing. - Miki Namatame; Noboru Matsuda (WMUTE, 2012)

Toward a reflective SimStudent: Using experience to avoid generalization errors. - Christopher J. MacLellan; Noboru Matsuda; Kenneth R. Koedinger (AIED Workshops, 2013)

Impact of Prior Knowledge and Teaching Strategies on Learning by Teaching. - Ma. Mercedes T. Rodrigo; Aaron Ong; Rex Perez Bringula; Roselle S. Basa; Cecilio Dela Cruz; Noboru Matsuda (AIED Workshops, 2013)

Studying the Effect of a Competitive Game Show in a Learning by Teaching Environment. - Noboru Matsuda; Evelyn Yarzebinski; Victoria Keiser; Rohan Raizada; Gabriel J. Stylianides; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2013)

Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality. - Christopher J. MacLellan; Kenneth R. Koedinger; Noboru Matsuda (Intelligent Tutoring Systems, 2014)

Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching. - Noboru Matsuda; Cassondra L. Griger; Nikolaos Barbalios; Gabriel Stylianides; William W. Cohen; Kenneth R. Koedinger (Intelligent Tutoring Systems, 2014)

Methods for Evaluating Simulated Learners: Examples from SimStudent. - Kenneth R. Koedinger; Noboru Matsuda; Christopher J. MacLellan; Elizabeth A. McLaughlin (AIED Workshops, 2015)

Authoring Tutors with Complex Solutions: A Comparative Analysis of Example Tracing and SimStudent. - Christopher J. MacLellan; Erik Harpstead; Eliane Stampfer Wiese; Mengfan Zou; Noboru Matsuda; Vincent Aleven; Kenneth R. Koedinger (AIED Workshops, 2015)

Understanding Students' Use of Code-Switching in a Learning by Teaching Technology. - Evelyn Yarzebinski; Amy Ogan; Ma. Mercedes T. Rodrigo; Noboru Matsuda (AIED, 2015)

Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement. - Noboru Matsuda; Tadanobu Furukawa; Norman L. Bier; Christos Faloutsos (EDM, 2015)

Integrating representation learning and skill learning in a human-like intelligent agent. - Nan Li 001; Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (Artif. Intell., 2015)

Teaching the Teacher: Tutoring SimStudent Leads to More Effective Cognitive Tutor Authoring. - Noboru Matsuda; William W. Cohen; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2015)

How quickly can wheel spinning be detected? - Noboru Matsuda; Sanjay Chandrasekaran; John C. Stamper (EDM, 2016)

Tell Me How to Teach, I'll Learn How to Solve Problems. - Noboru Matsuda; Nikolaos Barbalios; Zhengzheng Zhao; Anya Ramamurthy; Gabriel J. Stylianides; Kenneth R. Koedinger (ITS, 2016)

Cognitive Tutors Produce Adaptive Online Course: Inaugural Field Trial. - Noboru Matsuda; Martin Van Velsen; Nikolaos Barbalios; Shuqiong Lin; Hardik Vasa; Roya Hosseini; Klaus Sutner; Norman L. Bier (ITS, 2016)

Regional Cultural Differences in How Students Customize Their Avatars in Technology-Enhanced Learning. - Evelyn Yarzebinski; Cristina Dumdumaya; Ma. Mercedes T. Rodrigo; Noboru Matsuda; Amy Ogan (AIED, 2017)

Metacognitive Scaffolding Amplifies the Effect of Learning by Teaching a Teachable Agent. - Noboru Matsuda; Vishnu Priya Chandra Sekar; Natalie Wall (AIED (1), 2018)

Using Design Patterns for Math Preservice Teacher Education. - Paul Salvador Inventado; Sharris Gayle Francisco Inventado; Noboru Matsuda; Yeping Li; Peter Scupelli; Korinn Ostrow; Neil T. Heffernan; Shihfen Tu; Craig Mason; Mary Logue; Pat McGuire (EuroPLoP, 2018)

PASTEL: Evidence-based Learning Engineering Method to Create Intelligent Online Textbook at Scale. - Noboru Matsuda; Machi Shimmei (iTextbooks@AIED, 2019)

Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning. - Machi Shimmei; Noboru Matsuda (AIED (2), 2019)

Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering. - Machi Shimmei; Noboru Matsuda (EDM, 2020)

The Effect of Metacognitive Scaffolding for Learning by Teaching a Teachable Agent. - Noboru Matsuda; Wenting Weng; Natalie Wall (Int. J. Artif. Intell. Educ., 2020)

"Can You Clarify What You Said?": Studying the Impact of Tutee Agents' Follow-Up Questions on Tutors' Learning. - Tasmia Shahriar; Noboru Matsuda (AIED (1), 2021)

Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions. - Machi Shimmei; Noboru Matsuda (AIED (2), 2021)

Automatic Question Generation for Evidence-based Online Courseware Engineering. - Machi Shimmei; Noboru Matsuda (iTextbooks@AIED, 2022)

Teachable Agent as an Interactive Tool for Cognitive Task Analysis: A Case Study for Authoring an Expert Model. - Noboru Matsuda (Int. J. Artif. Intell. Educ., 2022)

Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding. - Jiaxing Xu; Jianbin Cui; Jiangneng Li; Wenge Rong; Noboru Matsuda (CoRR, 2022)

What and How You Explain Matters: Inquisitive Teachable Agent Scaffolds Knowledge-Building for Tutor Learning. - Tasmia Shahriar; Noboru Matsuda (AIED, 2023)

Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives. - Machi Shimmei; Norman L. Bier; Noboru Matsuda (AIED, 2023)

Can't Inflate Data? Let the Models Unite and Vote: Data-agnostic Method to Avoid Overfit with Small Data. - Machi Shimmei; Noboru Matsuda (EDM, 2023)

Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations. - Tasmia Shahriar; Noboru Matsuda; Kelly Ramos (CoRR, 2023)

Teaching How to Teach Promotes Learning by Teaching. - Noboru Matsuda; Dan Lv; Guoguo Zheng (Int. J. Artif. Intell. Educ., 2023)

Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. - Zhengdong Zhang; Zihan Dong; Yang Shi 004; Thomas W. Price; Noboru Matsuda; Dongkuan Xu (AAAI, 2024)

"I Am Confused! How to Differentiate Between...?" Adaptive Follow-Up Questions Facilitate Tutor Learning with Effective Time-On-Task. - Tasmia Shahriar; Noboru Matsuda (AIED (2), 2024)

Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data. - Jeanne McClure; Machi Shimmei; Noboru Matsuda; Shiyan Jiang (CoRR, 2024)

Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding Is Hinted. - Machi Shimmei; Masaki Uto; Yuichiroh Matsubayashi; Kentaro Inui; Aditi Mallavarapu; Noboru Matsuda (CoRR, 2025)